Triple

T5015863
Position Surface form Disambiguated ID Type / Status
Subject Ethernet E112739 entity
Predicate coInventedBy P632 FINISHED
Object David Boggs
David Boggs was an American electrical engineer and computer scientist best known as the co-inventor of Ethernet networking technology at Xerox PARC.
E488090 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: David Boggs | Statement: [Ethernet, coInventedBy, David Boggs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Boggs
Context triple: [Ethernet, coInventedBy, David Boggs]
  • A. Jim Douglas
    Jim Douglas is an American Republican politician who served as the 80th Governor of Vermont from 2003 to 2011.
  • B. Jean Peters
    Jean Peters was an American film actress best known for her leading roles in 1940s and 1950s Hollywood adventure and drama films.
  • C. David Dellinger
    David Dellinger was a prominent American pacifist and anti–Vietnam War activist best known as one of the Chicago Seven defendants.
  • D. John T. Woolley
    John T. Woolley is a political scientist and academic known for co-founding the American Presidency Project, a major online archive of U.S. presidential documents.
  • E. David Dodd
    David Dodd was an American economist, Columbia Business School professor, and influential co-author of the classic value investing text "Security Analysis."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: David Boggs
Triple: [Ethernet, coInventedBy, David Boggs]
Generated description
David Boggs was an American electrical engineer and computer scientist best known as the co-inventor of Ethernet networking technology at Xerox PARC.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Boggs
Target entity description: David Boggs was an American electrical engineer and computer scientist best known as the co-inventor of Ethernet networking technology at Xerox PARC.
  • A. Jim Douglas
    Jim Douglas is an American Republican politician who served as the 80th Governor of Vermont from 2003 to 2011.
  • B. Jean Peters
    Jean Peters was an American film actress best known for her leading roles in 1940s and 1950s Hollywood adventure and drama films.
  • C. David Dellinger
    David Dellinger was a prominent American pacifist and anti–Vietnam War activist best known as one of the Chicago Seven defendants.
  • D. John T. Woolley
    John T. Woolley is a political scientist and academic known for co-founding the American Presidency Project, a major online archive of U.S. presidential documents.
  • E. David Dodd
    David Dodd was an American economist, Columbia Business School professor, and influential co-author of the classic value investing text "Security Analysis."
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77c9fc7c8190b165a5cfd5889ba8 completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c5e06fc8190bdd875c04cefd789 completed March 21, 2026, 1:25 p.m.
NEDg Description generation batch_69be9e2508bc81909f24dd56e01d83fa completed March 21, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69be9e9b2d5c81908df67c69e7e96619 completed March 21, 2026, 1:35 p.m.
Created at: March 20, 2026, 1:35 p.m.